International Journal of Finance & Managerial Accounting

International Journal of Finance & Managerial Accounting

Ranking of Influential Factors on Financial Distress Criteria Using Structural Equation Modeling

Document Type : Original Article

Authors
1 Ph.D Student, Department of Accounting, Semnan Branch, Islamic Azad University, Semnan, Iran
2 Department of Accounting, Semnan Branch, Islamic Azad University, Semnan, Iran
10.22034/ijfma.2025.77970.2182
Abstract
The aim of this research is to explain the model of financial distress in companies listed on the Tehran Stock Exchange. In line with the research objective, data was collected from the financial statements of companies listed on the Tehran Stock Exchange during the period 1390 to 1401 (2011–2022). A structural equation modeling approach was used for statistical analysis. For financial distress risk, the adjusted Altman, Fulmer, Springate, and Zmijewski criteria were employed. The results of the study indicate that the rate of return on assets, financial leverage, and accounting conservatism are the top three factors influencing financial distress criteria.
The aim of this research is to explain the model of financial distress in companies listed on the Tehran Stock Exchange. In line with the research objective, data was collected from the financial statements of companies listed on the Tehran Stock Exchange during the period 1390 to 1401 (2011–2022). A structural equation modeling approach was used for statistical analysis. For financial distress risk, the adjusted Altman, Fulmer, Springate, and Zmijewski criteria were employed. The results of the study indicate that the rate of return on assets, financial leverage, and accounting conservatism are the top three factors influencing financial distress criteria.
Keywords

  1. Bony Mahd, Bahman; Moradzadeh, Mahdi; Valikhani, Mohammad Jafar (2014). Accounting conservatism and management rewards, Management Accounting, 7(22), 21-34.
  2. Panahi, Hossein; Asadzadeh, Ahmad; Jalili, Alireza (2014). Five-year financial distress prediction for companies listed on the Tehran Stock Exchange, Financial Research, 16(1), 57-76.
  3. Jabarzadeh, Saeed; Khodayari Ganeh, Saeed; Pour Reza, Akbar (2009). Investigating the relationship between earnings smoothing and financial distress of companies listed on the Tehran Stock Exchange, Financial Accounting Research, 1(2), 60-80.
  4. Karimi, Farzad; Sadeghi, Mohsen (2009). Internal and external financial constraints and their relationship with capital asset investment in companies listed on the Tehran Stock Exchange, Financial Accounting, 1(4), 43-58.
  5. Khanani Amiri, Mansour (2007). Investigating the relationship between financial constraints and stock returns in the Iranian capital market, Business Strategies, 5(26), 17-31.
  6. Mashaiee, Beita; Ganjizadeh, Hamid Reza (2014). The impact of earnings quality on bankruptcy prediction using artificial neural networks, Financial Accounting and Auditing Research, 6(22), 147-173.
  7. Mehrani, Sasan; Mehrani, Kaveh; Karami, Gholamreza (2004). Using historical financial and non-financial information to differentiate between successful and unsuccessful companies, Accounting and Auditing Reviews, 11(4), 77-92.

Altman, E. I., & Hotchkiss, E. (1993). Corporate financial distress and bankruptcy (Vol. 1998, pp. 105-110). New York: John Wiley & Sons.

Altman, E. I. (2013). Predicting financial distress of companies: revisiting the Z-score and ZETA® models. In Handbook of research methods and applications in empirical finance (pp. 428-456). Edward Elgar Publishing.

Cleary, S. (1999). The relationship between firm investment and financial status. The journal of finance54(2), 673-692.

Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1995). Detecting earnings management. Accounting review, 193-225.

Demerjian, P. R., Lev, B., Lewis, M. F., & McVay, S. E. (2013). Managerial ability and earnings quality. The accounting review88(2), 463-498.

Frank, M. Z., & Goyal, V. K. (2003). Testing the pecking order theory of capital structure. Journal of financial economics67(2), 217-248.

Givoly, D., & Hayn, C. (2000). The changing time-series properties of earnings, cash flows and accruals: Has financial reporting become more conservative?. Journal of accounting and economics29(3), 287-320.

Kaplan, S. N., & Zingales, L. (1995). Do financing constraints explain why investment is correlated with cash flow?.

Roychowdhury, S. (2004). Management of earnings through the manipulation of real activities that affect cash flow from operations. University of Rochester.

Schauer, C., Elsas, R., & Breitkopf, N. (2019). A new measure of financial constraints applicable to private and public firms. Journal of Banking & Finance101, 270-295.